Dataset Versions
Versions
2023-09-30 1:58am
v9
· a year ago
2023-09-30 1:30am
v8
· a year ago
2023-09-29 7:00pm
v7
· a year ago
2023-09-29 1:41pm
v6
· a year ago
2023-09-29 1:40pm
v5
· a year ago
2023-09-29 11:51am
v4
· a year ago
2023-09-28 2:46pm
v3
· a year ago
2023-09-27 1:26am
v2
· a year ago
2023-09-25 12:00pm
v1
· a year ago
v7
2023-09-29 7:00pm
Generated on Sep 29, 2023
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
1320 Total Images
View All Images
Dataset Split
Train Set 85%
1119Images
Valid Set 11%
145Images
Test Set 4%
56Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Filter Null: Require at least 80% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -8° and +8°
Saturation: Between -30% and +30%
Brightness: Between -18% and +18%
Exposure: Between -8% and +8%
Blur: Up to 0.5px
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -2% and +2%
Bounding Box: Exposure: Between -2% and +2%